list(
icon = "airplane",
color = "info",
value = paste0(round(sum(datos_turismo$visitantes) / 1e6, 1), " M")
)$icon
[1] "airplane"
$color
[1] "info"
$value
[1] "625.1 M"
title: “Dashboard Turístico CENESTUR” format: dashboard: orientation: rows theme: lumen
list(
icon = "airplane",
color = "info",
value = paste0(round(sum(datos_turismo$visitantes) / 1e6, 1), " M")
)$icon
[1] "airplane"
$color
[1] "info"
$value
[1] "625.1 M"
promedio <- mean(datos_turismo$gdpPercap)
list(
icon = "cash-coin",
color = "success",
value = paste0("$", round(promedio, 2))
)$icon
[1] "cash-coin"
$color
[1] "success"
$value
[1] "$11680.07"
p <- ggplot(datos_turismo, aes(x = ingreso_turismo, y = visitantes,
color = continent, text = country)) +
geom_point(alpha = 0.8, size = 2) +
scale_x_log10() +
scale_y_log10() +
theme_minimal() +
labs(x = "Ingresos (Log)", y = "Visitantes (Log)")
ggplotly(p, tooltip = "text")datatable(datos_turismo %>% select(country, continent, visitantes, ingreso_turismo),
options = list(pageLength = 10, dom = 'tp'),
rownames = FALSE)